Placid

平台与服务

by felores

集成Placid.app,可列出templates并生成creatives,便于在应用中自动化内容与素材制作。

什么是 Placid

集成Placid.app,可列出templates并生成creatives,便于在应用中自动化内容与素材制作。

README

Placid.app MCP Server

smithery badge

An MCP server implementation for integrating with Placid.app's API. This server provides tools for listing templates and generating images and videos through the Model Context Protocol.

<a href="https://glama.ai/mcp/servers/xeklsydon0"> <img width="380" height="200" src="https://glama.ai/mcp/servers/xeklsydon0/badge" /> </a>

Features

  • List available Placid templates with filtering options
  • Generate images and videos using templates and dynamic content
  • Secure API token management
  • Error handling and validation
  • Type-safe implementation

Requirements: Node.js

  1. Install Node.js (version 18 or higher) and npm from nodejs.org
  2. Verify installation:
    bash
    node --version
    npm --version
    

Installation

Quick Start (Recommended)

The easiest way to get started is using Smithery, which will automatically configure everything for you:

bash
npx -y @smithery/cli install @felores/placid-mcp-server --client claude

Manual Configuration

If you prefer to configure manually, add this to your Claude Desktop or Cline settings:

json
{
  "mcpServers": {
    "placid": {
      "command": "npx",
      "args": ["@felores/placid-mcp-server"],
      "env": {
        "PLACID_API_TOKEN": "your-api-token"
      }
    }
  }
}

Getting Your Placid API Token

  1. Log in to your Placid.app account
  2. Go to Settings > API
  3. Click on "Create API Token"
  4. Give your token a name (e.g., "MCP Server")
  5. Copy the generated token
  6. Add the token to your configuration as shown above

Development

bash
# Run in development mode with hot reload
npm run dev

# Run tests
npm test

Tools

placid_list_templates

Lists available Placid templates with filtering options. Each template includes its title, ID, preview image URL, available layers, and tags.

Parameters

  • collection_id (optional): Filter templates by collection ID
  • custom_data (optional): Filter by custom reference data
  • tags (optional): Array of tags to filter templates by

Response

Returns an array of templates, each containing:

  • uuid: Unique identifier for the template
  • title: Template name
  • thumbnail: Preview image URL (if available)
  • layers: Array of available layers with their names and types
  • tags: Array of template tags

placid_generate_video

Generate videos by combining Placid templates with dynamic content like videos, images, and text. For longer videos (>60 seconds processing time), you'll receive a job ID to check status in your Placid dashboard.

Parameters

  • template_id (required): UUID of the template to use
  • layers (required): Object containing dynamic content for template layers
    • For video layers: { "layerName": { "video": "https://video-url.com" } }
    • For image layers: { "layerName": { "image": "https://image-url.com" } }
    • For text layers: { "layerName": { "text": "Your content" } }
  • audio (optional): URL to an mp3 audio file
  • audio_duration (optional): Set to 'auto' to trim audio to video length
  • audio_trim_start (optional): Timestamp of trim start point (e.g. '00:00:45' or '00:00:45.25')
  • audio_trim_end (optional): Timestamp of trim end point (e.g. '00:00:55' or '00:00:55.25')

Response

Returns an object containing:

  • status: Current status ("finished", "queued", or "error")
  • video_url: URL to download the generated video (when status is "finished")
  • job_id: ID for checking status in Placid dashboard (for longer videos)

Example Usage for LLM models

json
{
  "template_id": "template-uuid",
  "layers": {
    "MEDIA": { "video": "https://example.com/video.mp4" },
    "PHOTO": { "image": "https://example.com/photo.jpg" },
    "LOGO": { "image": "https://example.com/logo.png" },
    "HEADLINE": { "text": "My Video Title" }
  },
  "audio": "https://example.com/background.mp3",
  "audio_duration": "auto"
}

placid_generate_image

Generate static images by combining Placid templates with dynamic content like text and images.

Parameters

  • template_id (required): UUID of the template to use
  • layers (required): Object containing dynamic content for template layers
    • For text layers: { "layerName": { "text": "Your content" } }
    • For image layers: { "layerName": { "image": "https://image-url.com" } }

Response

Returns an object containing:

  • status: "finished" when complete
  • image_url: URL to download the generated image

Example Usage for LLM models

json
{
  "template_id": "template-uuid",
  "layers": {
    "headline": { "text": "Welcome to My App" },
    "background": { "image": "https://example.com/bg.jpg" }
  }
}

Documentation

For more detailed information about the Placid API, visit the Placid API Documentation.

License

MIT

常见问题

Placid 是什么?

集成Placid.app,可列出templates并生成creatives,便于在应用中自动化内容与素材制作。

相关 Skills

MCP构建

by anthropics

Universal
热门

聚焦高质量 MCP Server 开发,覆盖协议研究、工具设计、错误处理与传输选型,适合用 FastMCP 或 MCP SDK 对接外部 API、封装服务能力。

想让 LLM 稳定调用外部 API,就用 MCP构建:从 Python 到 Node 都有成熟指引,帮你更快做出高质量 MCP 服务器。

平台与服务
未扫描111.8k

Slack动图

by anthropics

Universal
热门

面向Slack的动图制作Skill,内置emoji/消息GIF的尺寸、帧率和色彩约束、校验与优化流程,适合把创意或上传图片快速做成可直接发送的Slack动画。

帮你快速做出适配 Slack 的动图,内置约束规则和校验工具,少踩上传与播放坑,做表情包和演示都更省心。

平台与服务
未扫描111.8k

MCP服务构建器

by alirezarezvani

Universal
热门

从 OpenAPI 一键生成 Python/TypeScript MCP server 脚手架,并校验 tool schema、命名规范与版本兼容性,适合把现有 REST API 快速发布成可生产演进的 MCP 服务。

帮你快速搭建 MCP 服务与后端 API,脚手架完善、扩展顺手,尤其适合想高效验证服务能力的开发者。

平台与服务
未扫描9.8k

相关 MCP Server

Slack 消息

编辑精选

by Anthropic

热门

Slack 是让 AI 助手直接读写你的 Slack 频道和消息的 MCP 服务器。

这个服务器解决了团队协作中需要 AI 实时获取 Slack 信息的痛点,特别适合开发团队让 Claude 帮忙汇总频道讨论或发送通知。不过,它目前只是参考实现,文档有限,不建议在生产环境直接使用——更适合开发者学习 MCP 如何集成第三方服务。

平台与服务
83.1k

by netdata

热门

io.github.netdata/mcp-server 是让 AI 助手实时监控服务器指标和日志的 MCP 服务器。

这个工具解决了运维人员需要手动检查系统状态的痛点,最适合 DevOps 团队让 Claude 自动分析性能数据。不过,它依赖 NetData 的现有部署,如果你没用过这个监控平台,得先花时间配置。

平台与服务
78.3k

by d4vinci

热门

Scrapling MCP Server 是专为现代网页设计的智能爬虫工具,支持绕过 Cloudflare 等反爬机制。

这个工具解决了爬取动态网页和反爬网站时的头疼问题,特别适合需要批量采集电商价格或新闻数据的开发者。不过,它依赖外部浏览器引擎,资源消耗较大,不适合轻量级任务。

平台与服务
34.9k

评论